Neal Meinke

Senior Lead Application Developer — AI Agents & Conversational AI

LinkedIn github.com/nealm682 Remote — United States

Summary

I build production AI agents for the enterprise — and a system around how I build them. At ADP I work on ADP Assist, the company's flagship AI assistant, building semi-autonomous looping agents that call MCP tools across thousands of API endpoints to make multi-step decisions in real time.

Ten years in conversational AI, six of them at enterprise scale. I've carried the same product across a full architectural generation — from an IBM Watson Assistant platform to an event-driven TypeScript stack with LangGraph, and on to agent frameworks including AWS Strands. Before the technical career I spent a decade in operations, ecommerce and C-suite strategy, which is why I get pulled into ambiguous problems where nobody has written the requirements yet.

Selected Achievements

Experience

Senior Lead Application Developer, AI Assistant

ADP — RemoteApr 2025 – Present

Senior Application Developer, Chatbot

ADP — Remote (contract via Advanced Tech Placement, converted to FTE)May 2022 – Apr 2025

A.I. Modeler / Senior Application Developer, Conversational AI

Aetna, a CVS Health Company — Remote (contract)2021 – 2022

Conversational AI UX Designer

Lincoln Financial Group — Remote (contract)Jan 2020 – Feb 2021

NLP Specialist — Independent AI Consulting (Artificial Savant)

Self-employed · Registered IBM Business PartnerApr 2016 – Dec 2020

Earlier: Business Operations & Strategy

ABC Water · Digitel · Humes Ford · M&M Design & Building · Benefit Commerce Group2004 – 2019

Skills

Conversational AI
IBM Watson Assistant, Google Dialogflow, TypeScript dialog flows, intent design, NLU modeling, entity extraction, ground truth creation, VUI design
AI Agents
AWS Strands, LangGraph, Model Context Protocol (MCP), looping LLM architectures, tool calling, structured output enforcement, permission gating
Prompt & RAG
Prompt engineering, RAG accuracy auditing, BLEU and ROUGE evaluation, context engineering
AI-assisted delivery
Claude Code, spec-driven development, persistent LLM knowledge bases, custom skills and hooks, parallel agent orchestration
Languages
TypeScript, Node.js, Python, JavaScript
Frontend
React, Stencil (micro-frontend), Dart/Flutter, HTML/CSS, Canvas
Platforms & data
AWS, Databricks, MongoDB, Google Workspace add-ons, Git/Bitbucket, CI/CD, Jira, Splunk
Business
Stakeholder communication, technical leadership, requirements definition, UX design, ecommerce strategy, P&L ownership

Selected Projects

Education

B.S. Business Administration — Management Information Systems

University of Arizona2000 – 2004